DagsterData your team trusts. AI that runs on it.
vs
ZenMLAI orchestration, on the infra you choose
Comparison · MLOps Platforms · weekly run Nov 2
Dagster vs ZenML
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
ZenML is the stronger AI pick in MLOps Platforms: it has a visibility score of 6 versus 0.7 for Dagster.
Choose Dagster if…
- You want a lower entry price ($10 vs $39)
- You need HIPAA coverage
- You prefer a larger, established vendor (51–200 employees)
- Usage-based pricing suits your budget better than flat tiers
Choose ZenML if…
- You want the brand AI engines rank higher (6 vs 0.7)
- You want a free plan to start
- AI answers describe it more positively (55% vs 50% positive)
- You need ISO 27001 coverage
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Dagster | ZenML |
|---|---|---|
| Visibility score | 0.7% | 6% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #40 | #14 |
| Share of voice | 0.3% | 1.5% |
| Mentions this run | 2 | 11 |
| Positive in AI answers | 50% | 55% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Dagster 0pp · ZenML 0pp over 0 weekly runs.
Engine by engine
ZenML leads on 2 of 3 engines
ChatGPT
AI Mode
Perplexity
DagsterZenML
Head to head in AI answers
0 engine answers name both brands
0Dagster ranked higher
0ZenML ranked higher
Features, pricing & fit
| Dimension | Dagster | ZenML |
|---|---|---|
| Pricing model | Usage-based | Flat tiers |
| Entry price | $10 / mo | Free; paid from $39 / mo |
| Free plan | No · 30-day trial | Yes |
| Deployment | Serverless or hybrid deployment; under hybrid, compute runs in the customer's own infrastructure while Dagster manages the control plane. | Self-hosted open source, or ZenML's cloud. Enterprise runs on-prem or air-gapped in the customer's cloud, with data and compute staying in the customer's VPC. |
| Integrations | — | 66+ |
| Compliance | SOC 2 Type II, HIPAA | SOC 2 Type II, ISO 27001 |
| Support | Dagster community, Support Center and Ask AI, Billing support, Dedicated Slack or Microsoft Teams channel (Pro plan) | Community Slack, Email, Dedicated support with SLA on Enterprise, Workshops and architecture reviews on Enterprise |
| Founded | 2018 | 2021 |
| Headquarters | San Francisco, CA, United States | Munich, Germany |
| Employees | 51–200 | 11–50 |
| Funding | Series B · $49M raised | Seed extension · $6M raised |
| Best for | Data teams running dbt, Snowflake and Python data pipelines who want lineage and health visibility across their stack. | Data science and ML engineering teams that want pipelines and AI agents run on their own infrastructure, and agent teams that want to find the evals they are missing. |
Plans side by side
Pros and cons
Themes from the AI answers that mention each brand
Dagster
- named as a practical orchestration choice
ZenML
- Free and fully transparent open-source option
- Open-source and Kubernetes-native MLOps tool
- Recommended starting point for MLOps lifecycle coverage
- Among the strongest MLOps platform alternatives
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Dagster vs ZenML”, https://slateindex.ai/compare/dagster-vs-zenml, data of Nov 2, 2026. Licence: CC BY 4.0.